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681 Ergebnisse
Ergebnisse nach Hochschule und Institut
Publikation Sentiment analysis tools tailored to meme stocks(Hochschule für Wirtschaft FHNW, 2024) Gyr, Vivian Luca; Jüngling, StephanThis paper aims to develop a sentiment analysis tool to detect the rise of potential meme stocks in a timely manner.11 - Studentische ArbeitPublikation Digital Payment Facilitation(Hochschule für Wirtschaft FHNW, 2024) Gubin, Sergi; Asprion, PetraThe primary objective was to address the decision support gap for marketplace platforms regarding in-house payment facilitation and selecting the appropriate licence for this purpose. The research examined the criteria and requirements for in-house payment facilitation and analysed the regulatory landscape and financial licences within the European Union. The research detailed the criteria and requirements essential for marketplace platforms, including regulatory compliance, operational capabilities, and strategic considerations. Based on these insights, an Excel-based decision framework artefact was developed and introduced to assist marketplace platforms in navigating payment facilitation decisions.11 - Studentische ArbeitPublikation Conceptual Model for Agility Promotion(Hochschule für Wirtschaft FHNW, 2024) Grossenbacher, David; Gatziu Grivas, Stella; Grasshoff, GunnarBusiness and academia agree on the significance of agile values, principles and practices. Agility enables organisations to respond to dynamic demands effectively, ensuring resilience and innovation in the contemporary business environment of rapid technological and social change. In this volatile, uncertain, complex, and ambiguous (VUCA) environment, organisations must innovate to meet customer demands and remain resilient against disruptions. Hence, agility is a highly contemporary issue. Digitalisation impacts Swiss SMEs, requiring enhanced agility for success. However, implementing agile practices is challenging, given a misunderstanding of concepts in practice and limited guidance from literature. Existing research highlights that communication can weaken because of larger teams and strict role separation in expanding organisations.11 - Studentische ArbeitPublikation How AI benefits Automation Plat-forms in DevSecOps Environments and their Measurement(Hochschule für Wirtschaft FHNW, 2024) Gehrig, Raphael; Martin, AndreasBy developing a framework to measure the benefits of AI, this research facilitates enhanced strategic planning and informed decision-making. Subsequently, this study addresses five core areas: the challenges in automating IT landscapes, the areas within DevSecOps that benefit most from automation platforms, the methodologies to measure AI benefits, the significance of quantifiable benefits, and the limitations of measuring AI benefits. The employed methodology encompasses a comprehensive literature review, in-depth stakeholder interviews, and an empirical validation of the proposed framework leading to the final conclusion.11 - Studentische ArbeitPublikation An Ontology-based Work System Approach for Knowledge Management in Enterprises(Hochschule für Wirtschaft FHNW, 2024) Garsina, Alise; Laurenzi, EmanueleThis research integrates a work system framework with ontology-based meta-modeling to address knowledge silos and fragmented information in enterprises.11 - Studentische ArbeitPublikation Productivity in Software Development(Hochschule für Wirtschaft FHNW, 2024) Flückiger, Thierry Martin; Telesko, RainerThe introduction of ChatGPT by OpenAI and its versatile use cases in software development led to the creation of new tools supporting developers or engineers in their daily tasks. Many well-known software companies have launched their versions of AI assist-ed coding tools. Notably, GitHub Copilot, examined alongside ChatGPT in this thesis, stands out among these innovations. This study evaluates whether access to AI assisted coding tools has a noticeable impact on the productivity of software developers working within a large-scale agile framework.11 - Studentische ArbeitPublikation Transparency Trust in Predictive Analytics(Hochschule für Wirtschaft FHNW, 2024) Fischer, Roman; Schlick, SandraPredictive analytics is increasingly important for businesses seeking to improve decision-making and operational efficiency. However, the widespread adoption of these methods is often impeded by issues related to transparency and trust. Many stakeholders view predictive models as overly complex "black boxes," resulting in skepticism and hesitancy to fully integrate these tools into their processes. This thesis explores the critical challenges that hinder transparency and trust in predictive analytics within business contexts.11 - Studentische ArbeitPublikation Digital Ecosystem Maturity Model(Hochschule für Wirtschaft FHNW, 2024) Dittrich, Andreas; Gatziu Grivas, Stella; Imhof, DenisThe digital age requires a new type of business model for many companies – the digital ecosystem. Big tech companies such as Amazon, Apple, Google, Microsoft and Alibaba have become very successful with digital ecosystems. Digitization not only offers the opportunity to gain insights from (customer) data in order to identify trends and develop innovative products and services. Digitalization also offers companies the opportunity to provide their customers with unprecedented product and service combinations through collaborative partnerships with a wide range of different actors. However, the topic of digital ecosystems is also complicated and often leads to misunderstandings, not least because of the lack of uniform definitions in science and practice and the fact that everyone has a slightly different understanding of it.11 - Studentische ArbeitPublikation ChatGPT-4 in Python Education: A Comparative Analysis(Hochschule für Wirtschaft FHNW, 2024) Cenaj, Egzon; Telesko, RainerThe research is structured around key areas: the motivation for using AI in education, its challenges, and a look at ChatGPT-4's potential in a classroom setting. The study will also consider the dynamic nature of AI technology, setting clear boundaries to focus the research and acknowledging students' diverse backgrounds and biases that might affect the findings.11 - Studentische ArbeitPublikation Enhancing non-expert understanding of Artificial Intelligence solutions through an ontology-based approach(Hochschule für Wirtschaft FHNW, 2024) Castratori, Sarah Graziella; Laurenzi, EmanueleTo drive AI understanding and adoption, the vast terms, concepts, and definitions around the many different dimensions and aspects of AI must be demystified for a broader non-tech-focused audience. Such as professionals with higher education who work in a digitalized business environment but have no education in computer science or similar fields. These in this context, called “non-experts” of AI, who are decision-makers and contributors in various industries, could profit from an easy, manageable, and trustworthy way to level up their own knowledge of the AI field. Specifically in the context of relevant business challenges and terms.11 - Studentische Arbeit